Sourodeep Bhattacharjee

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In this work we have addressed the problem of appliance classification and power consumption anomaly detection using energy disaggregation and machine learning techniques. The active power consumption data, received from a smart-meter, has been used as the only parameter for solving our problem. We have implemented a decision tree algorithm to classify(More)
In this thesis, we present a new algorithm: Demand Sensitive Map Abstraction (DSMA). DSMA is a special kind of hierarchical pathfinding algorithm in which we vary the granularity of abstraction of the high-level map based on pathfinding request demand associated with various regions in the high level map and the search time of the last path request.(More)
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